Ranking search results based upon content creation trends

ABSTRACT

Embodiments of the present invention provide a method, system and computer program product for ranking search results based upon content creation trends. In an embodiment of the invention, a method for ranking search results based upon content creation trends includes first receiving a set of results from a search engine produced in response to a search engine query of one or more search terms. The method additionally includes ranking the results of the result set according to at least one ranking factor. The method yet further includes retrieving trend data for terms associated with either or both of the results and/or the search terms. Finally, the method includes weighting the ranked results in the result set according to the retrieved trend data.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a Continuation of U.S. patent application Ser. No.13/411,579, filed Mar. 4, 2012, which is a Divisional of U.S. patentapplication Ser. No. 13/160,487, filed Jun. 14, 2011, the entirety ofeach which is incorporated herein by reference.

BACKGROUND OF THE INVENTION Field of the Invention

The present invention relates to the field of content searching and moreparticularly to the prioritized display of search results for contentsearches.

Description of the Related Art

Content browsing refers to the retrieval and presentation of electroniccontent in a browser client. Content generally can include electronicdocuments, messages, audio, audiovisual and video materials and imagery.Most commonly, content can be stored in a server environment andpublished for access by content consumers over a computer communicationsnetwork such as the global Internet. Content consumers, in turn, canretrieve content over the network by reference to a network address forthe content. Once retrieved, the content can be presented in a browserclient including not only conventional visual browsers such as thevenerable Web browser, but also in alternative browsers such as thosedeployed in pervasive devices and those supporting different modes ofpresentation such as the audible presentation of material.

Given the vast amount of content published for accessibility over theInternet, one cannot enjoy an awareness of a possible content ofinterest available for access over the Internet. Search engines fill thegap by providing an interface through which end users can instructsearches for documents according to one or more search terms. Basicsearch engines permit simple term searches where the presence of one ormore search terms in content result in the return of a reference to thelocated content. More sophisticated search engines permit booleansearching and even more sophisticated search engines allow for naturallanguage searching.

Where search terms are provided in a search engine, the results oftenreflect the relevance of a “hit” based upon a percentage of search termspresent in the located content. Yet, in many cases, the search termsprovided are not intended to be located in desired content. Rather,search engines frequently permit one to require the omission of anycontent containing a search term. In boolean terms, the NOT operation ispermitted as well as the AND and OR operations. In any event, where theresult list from a search is large, the returned document of greatestinterest may be obscured from apparent view by the end user.Accordingly, prioritizing a list returned documents to render those ofutmost interest can be of paramount importance.

Current methods for prioritizing the display of documents in a list ofsearch results include providing advantage to documents which are morerelevant to the query, documents which are updated recently, documentswhich are linked to by other documents often, and documents which areoften selected in other similar searches. Some search engines do includethe most recent content from particular feeds (like recent “Twitter™”entries, related to a given query. While these methods go a long way inpresenting the user documents in most efficient form, these methodsstill leave a lot to be desired.

BRIEF SUMMARY OF THE INVENTION

Embodiments of the present invention address deficiencies of the art inrespect to search result prioritization and provide a novel andnon-obvious method, system and computer program product for rankingsearch results based upon content creation trends. In an embodiment ofthe invention, a method for ranking search results based upon contentcreation trends includes first receiving a result set of results from asearch engine produced in response to a search engine query of one ormore search terms. The method additionally includes ranking the resultsof the result set according to at least one ranking factor. The methodyet further includes retrieving trend data for either or both of termsassociated with results and/or the search terms themselves. Finally, themethod includes weighting the ranked results in the result set accordingto the retrieved trend data.

In one aspect of the embodiment, the weighting of the ranked the resultsin the result set according to the retrieved trend data can includecomputing a weight for each ranking of a corresponding one of theresults in the result set based upon:

(1) a combination of a mutual expectation function measuring of howlikely a given one of the search terms of the search engine query givingrise to the corresponding one of the results and an additional searchterm not included in the search engine query will occur together,

(2) a mutual dependency function measuring how strongly the additionalterm relates to the given one of the search terms in current contentcreation, and

(3) a relevancy to function calculating a relevancy of the given one ofthe search terms to the corresponding one of the results.

Additional aspects of the invention will be set forth in part in thedescription which follows, and in part will be obvious from thedescription, or may be learned by practice of the invention. The aspectsof the invention will be realized and attained by means of the elementsand combinations particularly pointed out in the appended claims. It isto be understood that both the foregoing general description and thefollowing detailed description are exemplary and explanatory only andare not restrictive of the invention, as claimed.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute partof this specification, illustrate embodiments of the invention andtogether with the description, serve to explain the principles of theinvention. The embodiments illustrated herein are presently preferred,it being understood, however, that the invention is not limited to theprecise arrangements and instrumentalities shown, wherein:

FIG. 1 is a pictorial illustration of a process for ranking searchresults based upon content creation trends;

FIG. 2 is a schematic illustration of a search results data processingsystem configured for ranking search results based upon content creationtrends; and,

FIG. 3 is a flow chart illustrating a process for ranking search resultsbased upon content creation trends.

DETAILED DESCRIPTION OF THE INVENTION

Embodiments of the invention provide for ranking search results basedupon content creation trends. In accordance with an embodiment of theinvention, a search engine can process a search query for contentdisposed in a content repository such as the World Wide Web. The searchquery can include one or more search terms and can result in a resultset of different documents. The documents can be ranked according to oneor more factors. At least one of the factors can include trend data forcontent accessed in the content repository or alternatively, trend datafor search terms used to request access to content in the contentrepository. In this regard, trend data can be received for not onlyterms of previously retrieved content, but also other words having adegree of relatedness to the terms. In this regard, trend data caninclude a degree to which particular documents associated withparticular words have been requested and/or retrieved by other usersaccessing the content repository. Thereafter, the ranking of each of thedocuments in the result set can be weighted by the trend data and theresult set can be sorted accordingly and presented in response to thesearch query.

In further illustration, FIG. 1 pictorially shows a process for rankingsearch results based upon content creation trends. As shown in FIG. 1 ,a computing device 110, such as a personal computer, personal digitalassistant, mobile telephone and the like, can issue a query 130 forcontent from a content repository 120 by way of a search engine 300configured to perform a trend based ranking process 300. The query 130can include one or more search terms 150 to be accounted for in theboolean context as either an “OR” or “AND” or “NOT” (or both) withrespect to one another. The search engine 120 can return a result set140 and either terms found in the result set 140, or the search terms150 of the query 130 (or both) can be provided to a trend feed 160 todetermine trend data 170 for the search terms 150 of the query 130. Inthis regard, the trend data 170 a degree to which particular contentassociated with the terms have been requested and/or retrieved by otherusers accessing the content repository, or created by other users forexample in the form of blog entries, wiki pages, news stories, twittertweets and the like, and can be provided by a trend service such as the“Insights™” tool provided by Google Inc. of Mountain View, Calif.,United States.

The trend based ranking process 300 can prioritize the result set 140according to the trend data 170 in order to produce a prioritized resultset 180 of results 190 each ranked according to the trend data 170. Inthis regard, the computing ranking of the results 190 individually canbe weighted to enhance the ranking when the trend data 170 indicatesthat a given one of the results 190 includes corresponding ones of thesearch terms 150 (and related terms not included as part of the searchterms 150 determined from trending content) that are contemporaneouslytrending popular. In contrast, the ranking for ones of the results 190that include corresponding search terms 150 not contemporaneouslytrending popular are not weighted accordingly. Once the prioritizedresult set 180 has been produced, the prioritized result set 180 can beprovided to the computing device 110 for rendering.

The process illustrated in connection with FIG. 1 can be implemented ina search results data processing system. In yet further illustration,FIG. 2 schematically shows a search results data processing systemconfigured for ranking search results based upon content creationtrends. The system can include a host server 210 configured forcommunicative coupling to different computing devices 220 over computercommunications network 230. The host server 210 can include a searchengine 250 executing in the memory of the host server 210. Further, eachof the computing devices 220 can include a corresponding content browser240 operable to issue search engine queries against the search engine250.

Of note, a trend based ranking module 260 can be coupled to the searchengine 250 and can execute in the memory of the host server 210. Thetrend based ranking module 260 also can be communicatively coupled to atrend feed 270 serving trend data 280 for search terms provided to thetrend feed 270. The trend based ranking module 260 can include programcode enabled upon execution in the memory of the host server 210 tomodify the rank order of search results in a result set produced inresponse to a search engine query in the search engine 250 bydetermining the trend data for the terms of the search engine query fromthe trend feed 270. Thereafter, each ranking of the search results inthe result set can be weighted to increase the ranking where one or moreterms appearing in the search engine query, or one or more related termsnot appearing in the search engine query, are trending popular accordingto the search trend data 280. Conversely, the rankings of search resultsin the result set that result from search terms not trending popularaccording to the search trend data 280 are not weighted to increase.

In even yet further illustration of the operation of the trend basedranking module 260, FIG. 3 is a flow chart illustrating a process forranking search results based upon content creation trends. Beginning inblock 310, one or more ranking factors can be loaded for use in rankingsearch results in a search result set. Those ranking factors caninclude, for example, search results which are more relevant to a searchquery, search results that are updated more recently, search resultslinked to by other documents often, or search results which are oftenselected in other similar searches. In block, 320, a search engine querycan be received and can include one or more search terms. Thereafter, inblock 330, the search engine query can be passed for processing in asearch engine and in block 340, a result set of search results can bereceived from the search engine. In block 350, trend data also can bereceived for the term or terms as the case may be of the search enginequery. In block 360, the results of the result set can be rankedaccording to the loaded ranking factors.

In block 370, a selection of weights can be computed for each of theresults in the result set based upon the search terms in the searchengine query and also for zero or more related terms not specified inthe search engine query. For instance, for each result in the resultsset, the ranking for the result can be enhanced by a factor that dependsupon the “trendiest” query containing the search engine query for theresult. By way example, the ranking for a result in the result set canbe multiplied by the weight M, which is defined as:M(A,B):=1+Max(MutualExpectation(A,b)*MutualDependancy(A,b)*RelevancyTo(b),for every set ‘b’ in (B)*AConstantwhere A is the set of terms in the search engine query, and B is the setof all sets of additional terms that may be relevant to the results inthe result set of the search engine query, and AConstant can be selectedto change the importance of the trendiness of sub-topics.

The MutualExpectation function in turn is a measure of how likely A andB will occur together as follows: MutualExpectation (A,B):=P(A & B).Additionally, the MutualDependency function is a measure of how stronglythe additional terms relate to the terms of the search engine queryincurrent content creation as follows:MutualDependency(A,B):=P(A&B)/(P(A)*P(B))=P(A|B)P(B|A)/P(A&B)Finally, the RelevancyTo function is defined in the same manner that thesearch engine already calculates relevancy of the normal terms of asearch engine query to a result in question.

Returning now to FIG. 3 , in block 380, each of the rankings for theresults in the result set can be modified according to the computedweights. In block 390, the results in the result set can be sortedaccording to the modified rankings. Finally, in block 400 the sortedresult set can be returned for display in response to the search enginequery.

As will be appreciated by one skilled in the art, aspects of the presentinvention may be embodied as a system, method or computer programproduct. Accordingly, aspects of the present invention may take the formof an entirely hardware embodiment, an entirely software embodiment(including firmware, resident software, micro-code, etc.) or anembodiment combining software and hardware aspects that may allgenerally be referred to herein as a “circuit,” “module” or “system.”Furthermore, aspects of the present invention may take the form of acomputer program product embodied in one or more computer readablemedium(s) having computer readable program code embodied thereon.

Any combination of one or more computer readable medium(s) may beutilized. The computer readable medium may be a computer readable signalmedium or a computer readable storage medium. A computer readablestorage medium may be, for example, but not limited to, an electronic,magnetic, optical, electromagnetic, infrared, or semiconductor system,apparatus, or device, or any suitable combination of the foregoing. Morespecific examples (a non-exhaustive list) of the computer readablestorage medium would include the following: an electrical connectionhaving one or more wires, a portable computer diskette, a hard disk, arandom access memory (RAM), a read-only memory (ROM), an erasableprogrammable read-only memory (EPROM or Flash memory), an optical fiber,a portable compact disc read-only memory (CD-ROM), an optical storagedevice, a magnetic storage device, or any suitable combination of theforegoing. In the context of this document, a computer readable storagemedium may be any tangible medium that can contain, or store a programfor use by or in connection with an instruction execution system,apparatus, or device.

A computer readable signal medium may include a propagated data signalwith computer readable program code embodied therein, for example, inbaseband or as part of a carrier wave. Such a propagated signal may takeany of a variety of forms, including, but not limited to,electro-magnetic, optical, or any suitable combination thereof. Acomputer readable signal medium may be any computer readable medium thatis not a computer readable storage medium and that can communicate,propagate, or transport a program for use by or in connection with aninstruction execution system, apparatus, or device.

Program code embodied on a computer readable medium may be transmittedusing any appropriate medium, including but not limited to wireless,wireline, optical fiber cable, radiofrequency, and the like, or anysuitable combination of the foregoing. Computer program code forcarrying out operations for aspects of the present invention may bewritten in any combination of one or more programming languages,including an object oriented programming language and conventionalprocedural programming languages. The program code may execute entirelyon the user's computer, partly on the user's computer, as a stand-alonesoftware package, partly on the user's computer and partly on a remotecomputer or entirely on the remote computer or server. In the latterscenario, the remote computer may be connected to the user's computerthrough any type of network, including a local area network (LAN) or awide area network (WAN), or the connection may be made to an externalcomputer (for example, through the Internet using an Internet ServiceProvider).

Aspects of the present invention have been described above withreference to flowchart illustrations and/or block diagrams of methods,apparatus (systems) and computer program products according toembodiments of the invention. In this regard, the flowchart and blockdiagrams in the Figures illustrate the architecture, functionality, andoperation of possible implementations of systems, methods and computerprogram products according to various embodiments of the presentinvention. For instance, each block in the flowchart or block diagramsmay represent a module, segment, or portion of code, which comprises oneor more executable instructions for implementing the specified logicalfunction(s). It should also be noted that, in some alternativeimplementations, the functions noted in the block may occur out of theorder noted in the figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts, or combinations of special purpose hardware andcomputer instructions.

It also will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer program instructions. These computer program instructions maybe provided to a processor of a general purpose computer, specialpurpose computer, or other programmable data processing apparatus toproduce a machine, such that the instructions, which execute via theprocessor of the computer or other programmable data processingapparatus, create means for implementing the functions/acts specified inthe flowchart and/or block diagram block or blocks.

These computer program instructions may also be stored in a computerreadable medium that can direct a computer, other programmable dataprocessing apparatus, or other devices to function in a particularmanner, such that the instructions stored in the computer readablemedium produce an article of manufacture including instructions whichimplement the function/act specified in the flowchart and/or blockdiagram block or blocks. The computer program instructions may also beloaded onto a computer, other programmable data processing apparatus, orother devices to cause a series of operational steps to be performed onthe computer, other programmable apparatus or other devices to produce acomputer implemented process such that the instructions which execute onthe computer or other programmable apparatus provide processes forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks.

Finally, the terminology used herein is for the purpose of describingparticular embodiments only and is not intended to be limiting of theinvention. As used herein, the singular forms “a”, “an” and “the” areintended to include the plural forms as well, unless the context clearlyindicates otherwise. It will be further understood that the terms“comprises” and/or “comprising,” when used in this specification,specify the presence of stated features, integers, steps, operations,elements, and/or components, but do not preclude the presence oraddition of one or more other features, integers, steps, operations,elements, components, and/or groups thereof.

The corresponding structures, materials, acts, and equivalents of allmeans or step plus function elements in the claims below are intended toinclude any structure, material, or act for performing the function incombination with other claimed elements as specifically claimed. Thedescription of the present invention has been presented for purposes ofillustration and description, but is not intended to be exhaustive orlimited to the invention in the form disclosed. Many modifications andvariations will be apparent to those of ordinary skill in the artwithout departing from the scope and spirit of the invention. Theembodiment was chosen and described in order to best explain theprinciples of the invention and the practical application, and to enableothers of ordinary skill in the art to understand the invention forvarious embodiments with various modifications as are suited to theparticular use contemplated.

Having thus described the invention of the present application in detailand by reference to embodiments thereof, it will be apparent thatmodifications and variations are possible without departing from thescope of the invention defined in the appended claims as follows:

We claim:
 1. A method for ranking search results based upon contentcreation trends, the method comprising: executing a search engine queryof a plurality of search terms in a search engine of a computercomprising memory and at least one processor; receiving a result set ofresults from the search engine produced in response to the search enginequery of the plurality of search terms; ranking the results of theresult set by the processor in the memory of the computer according toat least one ranking factor; identifying one or more related termsrelated to the search terms and submitting both the search terms and therelated terms by the processor to a trend feed over a computercommunications network, and retrieving in response, trend dataindicating which of the search terms are trending popular and which ofthe search terms are not trending popular; and identifying ones of theresults in the result set present in the result set in correspondence toones of the search terms and the related terms determined to be trendingpopular according to the retrieved trend data and weighting by theprocessor the ranked results in the result set according to theretrieved trend data by multiplying the ones of the ranked results inthe results set by a numerical factor, the multiplication increasing acorresponding ranking for each of the ones of the ranked results,whereby the weighted ranked results produces a prioritized results setof results most likely to be popular according to the trend data for thesearch terms and the related terms of the query giving rise to theresults weighted most heavily.
 2. The method of claim 1, wherein rankingthe results of the result set comprises ranking the results of theresult set according to relevance of the results of the result set tothe search engine query.
 3. The method of claim 1, wherein ranking theresults of the result set comprises ranking the results of the resultset according to more recent search results.
 4. The method of claim 1,wherein ranking the results of the result set comprises ranking theresults of the result set according to search results linked to by otherresults often.
 5. The method of claim 1, wherein ranking the results ofthe result set comprises ranking the results of the result set accordingto search results frequently selected in response to other similarsearches.
 6. The method of claim 1, wherein weighting the ranked resultscomprises weighting the ranked results in the result set according tothe retrieved trend data, by multiplying at least the portion of theranked results in the results set by the numerical weight based upon theadjustable numerical value indicating the importance of the trendinessof the topic, by computing a numerical weight for each ranking of acorresponding one of the results in the result set based upon acombination of a mutual expectation function measuring a given one ofthe search terms of the search engine query giving rise to thecorresponding one of the results and an additional search term notincluded in the search engine query occur together, a mutual dependencyfunction measuring the additional term relates to the given one of thesearch terms in current content creation, and a relevancy to functioncalculating a relevancy of the given one of the search terms to thecorresponding one of the results.
 7. A computer program product forranking search results based upon content creation trends, the computerprogram product comprising: non-transitory computer readable storagemedium having computer readable program code embodied therewith, thecomputer readable program code comprising: computer readable programcode for executing a search engine query of a plurality of search termsin a search engine of a computer comprising memory and at least oneprocessor; computer readable program code for receiving a result set ofresults from the search engine produced in response to the search enginequery of the plurality of search terms; computer readable program codefor ranking the results of the result set by the processor in the memoryof the computer according to at least one ranking factor; computerreadable program code for identifying one or more related terms relatedto the search terms and submitting both the search terms and the relatedterms by the processor to a trend feed over a computer communicationsnetwork, and retrieving in response, trend data indicating which of thesearch terms are trending popular and which of the search terms are nottrending popular; and computer readable program code for identifyingones of the results in the result set present in the result set incorrespondence to ones of the search terms and the related termsdetermined to be trending popular according to the retrieved trend dataand weighting by the processor the ranked results in the result setaccording to the retrieved trend data by multiplying the ones of theranked results in the results set by a numerical factor, themultiplication increasing a corresponding ranking for each of the onesof the ranked results, whereby the weighted ranked results produces aprioritized results set of results most likely to be popular accordingto the trend data for the search terms and the related terms of thequery giving rise to the results weighted most heavily.
 8. The computerprogram product of claim 7, wherein the computer readable program codefor ranking the results of the result set comprises computer readableprogram code for ranking the results of the result set according torelevance of the results of the result set to the search engine query.9. The computer program product of claim 7, wherein the computerreadable program code for ranking the results of the result setcomprises computer readable program code for ranking the results of theresult set according to more recent search results.
 10. The computerprogram product of claim 7, wherein the computer readable program codefor ranking the results of the result set comprises computer readableprogram code for ranking the results of the result set according tosearch results linked to by other results often.
 11. The computerprogram product of claim 7, wherein the computer readable program codefor ranking the results of the result set comprises computer readableprogram code for ranking the results of the result set according tosearch results frequently selected in response to other similarsearches.
 12. The computer product of claim 7, wherein weighting theranked the results comprises weighting the ranked results in the resultset according to the retrieved trend data, by multiplying at least theportion of the ranked results in the results set by the numerical weightbased upon the adjustable numerical value indicating the importance ofthe trendiness of the topic, by computing a numerical weight for eachranking of a corresponding one of the results in the result set basedupon a combination of a mutual expectation function measuring of a givenone of the search terms of the search engine query giving rise to thecorresponding one of the results and an additional search term notincluded in the search engine query occur together, a mutual dependencyfunction measuring the additional term relates to the given one of thesearch terms in current content creation, and a relevancy to functioncalculating a relevancy of the given one of the search terms to thecorresponding one of the results.
 13. A search results data processingsystem configured for ranking search results based upon content creationtrends, the system comprising: a host server with at least one processorand memory and configured for communicatively coupling to differentcomputing devices over a computer communications network; a searchengine executing in the memory of the host server and providing resultsets of different results from respectively different search enginequeries received from the computing devices over the computercommunications network; and a trend based ranking module coupled to thesearch engine comprising program code when executed in the memory of thehost server performs: receiving a result set of results from the searchengine produced in response to a search engine query of a plurality ofsearch terms; ranking the results of the result set by the processor inthe memory of the computer according to at least one ranking factor;identifying one or more related terms related to the search terms andsubmitting both the search terms and the related terms by the processorto a trend feed over a computer communications network, and retrievingin response, trend data indicating which of the search terms aretrending popular and which of the search terms are not trending popular;and identifying ones of the results in the result set present in theresult set in correspondence to ones of the search terms and the relatedterms determined to be trending popular according to the retrieved trenddata and weighting by the processor the ranked results in the result setaccording to the retrieved trend data by multiplying the ones of theranked results in the results set by a numerical factor, themultiplication increasing a corresponding ranking for each of the onesof the ranked results, whereby the weighted ranked results produces aprioritized results set of results most likely to be popular accordingto the trend data for the search terms and the related terms of thequery giving rise to the results weighted most heavily.
 14. The systemof claim 13, wherein the search engine ranks the results of the resultset according to relevance of the results of the result set to thesearch engine query.
 15. The system of claim 13, wherein the searchengine ranks the results of the result set according to more recentsearch results.
 16. The system of claim 13, wherein the search engineranks the results of the result set according to search results linkedto by other results often.
 17. The system of claim 13, wherein thesearch engine ranks the results of the result set according to searchresults frequently selected in response to other similar searches. 18.The system of claim 13, wherein the program code weights the ranked theresults in the result set according to the retrieved trend data bymultiplying at least the portion of the ranked results in the resultsset by the numerical weight based upon the adjustable numerical valueindicating the importance of the trendiness of the topic, by computing anumerical weight for each ranking of a corresponding one of the resultsin the result set based upon a combination of a mutual expectationfunction measuring of a given one of the search terms of the searchengine query giving rise to the corresponding one of the results and anadditional search term not included in the search engine query willoccur together, a mutual dependency function measuring the additionalterm relates to the given one of the search terms in current contentcreation, and a relevancy to function calculating a relevancy of thegiven one of the search terms to the corresponding one of the results.